Obsidian Vault
NOTES-MARKDOWN
AI-LAB
Contour detection
Convolution
Kernel
Numpy
Artificial Intelligence
Adversarial Search
Agents
CSPs
Markov Decision Processes
Reinforcement Learning
Search
Artificial Intelligence (OLD)
A-star
Agent
Arity
Best-first search
BFS
CNF
Constraint Satisfaction Problems
DFS
Environment
First Order Logic
Forward and backward Chaining
Functions
Graph
Heuristics
Logical Equivalence
Logical Inference
MAC
Negational Normal Form
PCNF
Prenex Normal Form
Problem solving process
Propositional Resolution
Propositional Satisfiability
Set theory
Calculus
Partial derivatives
Foundation of Computer Science
Alphabets
Automata
NPC problems
Regular languages
The Halting Problem
Guides to the exams
AI Exam
AI Exam (OLD)
Cybersecurity Exam - DONE
Deep Learning Exam
DMA1 Exam - DONE
DMA1 Proofs - DONE
DMA2 Oral Exam - DONE
Linear Algebra Exam
Linear Algebra Exam 2
Machine Learning Exam - DONE
Networking Exam
PDF
Probability Exam
Statistics Exam - DONE
Systems Exam
PDF
Human Computer Interaction
01 - Interface
02 - Widgets
03 - Gestures
04 - Manipulating objects
04 - Navigation
05 - Attention
05 - Interrupted work
06 - Modes
Linear Algebra
Basis
Determinant
Dot product
Eigenvectors and Eigenvalues
Gaussian Elimination
Hyperplanes
Inverse of a Matrix
Linear Combination
Linear dependence
Matrix (ML)
Matrix operations
Norm
Null space
Quadratic form
Rank
Rayleigh quotient
Spanning set
Spectral decomposition
SVD
Symmetric matrix
Systems of Linear Equations
Transformations
Vector spaces
Vectors
Machine Learning
Attention Mechanism
Basis Function
Bayes Theorem
Covariance matrix
Cross-entropy
Cross-validation
Decision trees
Entropy
Expectation Maximization
Gaussian distribution
Gaussian Mixture Model
Generalized Linear Model
Gradient
Gradient Descent
Hessian
Impurity functions
Information Gain
Jacobian
Joint distribution
K-means
K-Nearest Neighbors
Kullback-Leibler divergence
Linear Regression
Logistic Regression
Mahalanobis distance
Maximum Likelihood Principle
Multi-Class Classification
Neural Networks
PCA
Perceptron
Polynomial Regression
ROC
Sigmoid
Sphering
Stochastic Gradient Descent
Physics
1. Bullet motion
2. Circular motion in 2D
3. Newton's laws
4. Work
5. Conservation of energy
6. Stable Equilibrium
7. Power
Da smistare
International system of units
Vector operations
Probability
Bernoulli distribution
Conditional Probability
Event
Introduction to Probability
Probability distribution
Random variable
Statistics
Advanced Regression
Association
Box plot
Central Limit Theorem
Confidence interval
Correlation coefficient
Covariance
Empirical rule
Estimation
Expected value
Measures of Position
Median
Mode
Normal distribution
Regression
Sampling distributions
Significance Level
Significance Test
Standard Deviation
Standard Error
Variable types
Variance
Z-score
Da smistare
Example
Example
Recap 11/03
Newtonian mechanics
Kinematics
Dynamics:
Forces
Work
Conservation of energy
Example
1 third of the exam!!!!
Example
Example
Table Of Contents
Da smistare